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One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems., , , , , , , and . CoRR, (2023)Data-Free Adversarial Perturbations for Practical Black-Box Attack., , , , , and . PAKDD (2), volume 12085 of Lecture Notes in Computer Science, page 127-138. Springer, (2020)Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas., , and . PRCV (2), volume 12306 of Lecture Notes in Computer Science, page 531-543. Springer, (2020)Learning to Select Instance: Simultaneous Transfer Learning and Clustering., , , , , , , , , and . SIGIR, page 1950-1954. ACM, (2021)Model the Dynamic Evolution of Facial Expression from Image Sequences., and . PAKDD (2), volume 10938 of Lecture Notes in Computer Science, page 546-557. Springer, (2018)An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios., , , , , , , , , and . SIGIR, page 3403-3407. ACM, (2022)Rethinking Memory and Communication Cost for Efficient Large Language Model Training., , , , , , , , , and 1 other author(s). CoRR, (2023)G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems., , , , , , , and . CIKM, page 4365-4369. ACM, (2023)Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning., , , , , , , , and . WWW (Companion Volume), page 103-111. ACM, (2024)AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes., , , , , , , , , and 1 other author(s). CoRR, (2024)